{"title":"Fast constant time implementations of ZUC-256 on x86 CPUs","authors":"Nir Drucker, S. Gueron","doi":"10.1109/CCNC.2019.8651851","DOIUrl":null,"url":null,"abstract":"ZUC-256 is a Pseudo Random Number Generator (PRNG) that is proposed as a successor of ZUC-128. Similarly to ZUC-128 that is incorporated in the 128-EEA3 and 128-EIA3 encryption and integrity algorithms, ZUC-256 is designed to offer 256-bit security and to be incorporated in the upcoming encryption and authentication algorithm in 5G technologies. In this context software optimizations of ZUC-256 are desired. This paper proposes several ZUC-256 optimizations for x86 processors, especially, modern processors that have efficient AVX vectorization. Surprisingly, we also show that AES-NI can also be used for ZUC-256 and help creating constant-time implementations. Our results show speedup of up to 4.5 x(per key stream) when computational tasks are parallelized efficiently.","PeriodicalId":285899,"journal":{"name":"2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCNC.2019.8651851","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
ZUC-256 is a Pseudo Random Number Generator (PRNG) that is proposed as a successor of ZUC-128. Similarly to ZUC-128 that is incorporated in the 128-EEA3 and 128-EIA3 encryption and integrity algorithms, ZUC-256 is designed to offer 256-bit security and to be incorporated in the upcoming encryption and authentication algorithm in 5G technologies. In this context software optimizations of ZUC-256 are desired. This paper proposes several ZUC-256 optimizations for x86 processors, especially, modern processors that have efficient AVX vectorization. Surprisingly, we also show that AES-NI can also be used for ZUC-256 and help creating constant-time implementations. Our results show speedup of up to 4.5 x(per key stream) when computational tasks are parallelized efficiently.
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